Vehicle position

Lime: shared vehicle operator, no longer in brussels

Format
GeoJSON
Updates
No longer updated — Lime has ceased operations in Brussels; historical data only
Latest snapshot
Snapshots stored
about 106,040
curl -H "Authorization: Bearer $MOBILITYTWIN_TOKEN" "https://api.mobilitytwin.brussels/lime/vehicle-position"
Get a token

Positions of Lime vehicles in Brussels, until Lime left the city.

Which days have data

Data from 21 Aug 2024 to 18 Feb 2026, on 428 days. 0 of the last 30 days have data. A typical day holds 264 snapshots. Days are in UTC.

2026
JanFebMarAprMayJunJulAugSepOctNovDec
2025
JanFebMarAprMayJunJulAugSepOctNovDec
2024
JanFebMarAprMayJunJulAugSepOctNovDec
  • Full day
  • Partial, 50–90% of a typical day
  • Low, under 50%
  • No snapshot
  • Not expected

Click a day above, or pick a date, to get its requests.

Parameters

NameMeaning
timestampReturn the last snapshot at or before this moment, in Unix seconds or ISO 8601 (e.g. 2026-05-06T12:00:00Z). Without it, the latest snapshot is returned.

Response fields

A GeoJSON FeatureCollection. Field names without a prefix are in each feature's properties.

FieldType
bike_idstring
current_range_metersinteger
is_disabledboolean
is_reservedboolean
last_reportedinteger
vehicle_typestring
vehicle_type_idstring

Python example

import requests
import geopandas as gpd

from datetime import datetime, timedelta, timezone

yesterday_noon = (datetime.now(timezone.utc) - timedelta(days=1)).replace(
    hour=12, minute=0, second=0, microsecond=0
)
params = {
    "timestamp": yesterday_noon.isoformat(),   # ISO accepted; epoch also works
}

url = "https://api.mobilitytwin.brussels/lime/vehicle-position"

data = requests.get(url, headers={
        'Authorization': 'Bearer [MY_API_KEY]'
}, params=params).json()

gdf = gpd.GeoDataFrame.from_features(data["features"])

# Show available vehicles with battery range
available = gdf[~gdf['is_disabled'] & ~gdf['is_reserved']]
print(f"Available Lime vehicles: {len(available)} / {len(gdf)}")
print(f"Average range: {available['current_range_meters'].mean() / 1000:.1f} km")

# Plot vehicle positions
available.plot(figsize=(10, 8), color="#00b140", markersize=5)